PROJECT TITLE :

Attribute-Based Storage Supporting Secure Deduplication of Encrypted Data in Cloud - 2017

ABSTRACT:

Attribute-based encryption (ABE) has been widely utilized in cloud computing where a data provider outsources his/her encrypted knowledge to a cloud service supplier, and can share the info with users possessing specific credentials (or attributes). However, the standard ABE system does not support secure deduplication, which is crucial for eliminating duplicate copies of identical knowledge so as to save storage space and network bandwidth. In this paper, we tend to gift an attribute-based storage system with secure deduplication in a very hybrid cloud setting, where a personal cloud is accountable for duplicate detection and a public cloud manages the storage. Compared with the prior knowledge deduplication systems, our system has two blessings. Firstly, it will be used to confidentially share information with users by specifying access policies rather than sharing decryption keys. Secondly, it achieves the quality notion of semantic security for knowledge confidentiality whereas existing systems solely achieve it by defining a weaker security notion. As well, we tend to place forth a technique to modify a ciphertext over one access policy into ciphertexts of the identical plaintext however beneath other access policies without revealing the underlying plaintext.


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